iPhone 11
Geekbench AI Score
1560
Single Precision Score
3039
Half Precision Score
2504
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 04:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
804
149.5 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.7 IPS |
|
|
Image Classification (Q)
|
96% |
983
183.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1358
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3493
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
6385
7.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
5657
6.63 IPS |
|
|
Object Detection (SP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (HP)
|
97% |
1586
126.3 IPS |
|
|
Object Detection (Q)
|
94% |
1153
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1802
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2867
22.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5493
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
3991
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5968
7.67 IPS |
|
|
Style Transfer (HP)
|
100% |
13916
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11573
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1918
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2558
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2018
74.5 IPS |
|
|
Text Classification (SP)
|
100% |
1300
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2194
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3058
52.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3030
52.4 IPS |
